Sales channel classification for renewable energy stations under peak shaving resource shortage

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Electrical Power & Energy Systems Pub Date : 2024-07-06 DOI:10.1016/j.ijepes.2024.110115

Minghao Cao, Jilai Yu

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Abstract

By the end of 2023, the installed capacity of renewable energy (RE) in China accounted for 36.0% of the total installed capacity, while the installed capacity of conventional thermal power units had decreased from 64.0% in 2016 to 47.6% in 2023. RE accounts for a higher proportion, leading to a shortage of peak shaving resources (PSR). As a result, the current RE quota system becomes unsustainable. In this paper, RE stations can classify their electricity into high-quality and low-quality parts based on the accuracy of their power curves. High-quality RE will be fully purchased and under stricter assessment, while low-quality RE will compete for clearing in the intraday spot market. Firstly, the article estimates the degree of PSR shortages in different periods based on technical parameters of thermal units, RE forecast information, and load forecast information. Consequently, the PSR supply capacity (PSR supply capacity) can be divided into PSR shortage status and sufficient status. Secondly, a clearing method for low-quality RE in the spot market is designed. The grid can set different PSR supply capacitys for different time periods according to the degree of PSR shortage. The assessment indicator values vary under different PSR supply capacitys. Lastly, based on the classification sales channels, this paper proposes a power curve optimization strategy that considers self-owned battery energy storage (BES). Case studies show that the proposed classification sales channels can effectively decrease the degree of PSR shortage while taking into account the benefits of RE station. The designed PSR supply capacity dividing method can accurately reflect the degree of PSR shortage in real-time, and the proposed power curve optimization strategy can further enhance the economic benefits of RE station.

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调峰资源短缺情况下可再生能源发电站的销售渠道分类

到 2023 年底，中国可再生能源（RE）装机容量占总装机容量的 36.0%，而常规火电机组装机容量从 2016 年的 64.0%下降到 2023 年的 47.6%。可再生能源占比较高，导致调峰资源（PSR）短缺。因此，目前的可再生能源配额制变得不可持续。在本文中，可再生能源发电站可根据其功率曲线的准确性将其电力分为高质量和低质量两部分。高质量的可再生能源将被全额收购并接受更严格的评估，而低质量的可再生能源将在日内现货市场上竞争清算。首先，文章根据火电机组的技术参数、可再生能源预测信息和负荷预测信息，估算出不同时期的 PSR 短缺程度。因此，PSR 供应能力（PSR 供应容量）可分为 PSR 短缺状态和充足状态。其次，设计了现货市场中低质量可再生能源的清算方法。电网可根据 PSR 短缺程度，在不同时段设置不同的 PSR 供应能力。在不同的 PSR 供应能力下，评估指标值也不同。最后，在分类销售渠道的基础上，本文提出了一种考虑自备电池储能（BES）的功率曲线优化策略。案例研究表明，所提出的分类销售渠道可有效降低 PSR 短缺程度，同时兼顾可再生能源电站的效益。所设计的 PSR 供电能力划分方法能够实时准确地反映 PSR 的短缺程度，所提出的功率曲线优化策略能够进一步提高可再生能源电站的经济效益。保留所有权利。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.